An interactive motion analysis framework for diagnosing and rectifying potential injuries caused through resistance training

Jake Hall, Jacky C. P. Chan, Hubert P. H. Shum, Wei Wei, Edmond S. L. Ho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Abstract

With the rapid increase in individuals participating in resistance training activities, the number of injuries pertaining to these activities has also grown just as aggressively. Diagnosing the causes of injuries and discomfort requires a large amount of resources from highly experienced physiotherapists. In this paper, we propose a new framework to analyse and visualize movement patterns during performance of four major compound lifts. The analysis generated will be used to efficiently determine whether the exercises are being performed correctly, ensuring anatomy remains within its functional range of motion, in order to prevent strain or discomfort that may lead to injury.
Original languageEnglish
Title of host publicationProceedings - MIG 2019: ACM Conference on Motion, Interaction, and Games
Subtitle of host publicationNewcastle upon Tyne, England, October 28-30, 2019
EditorsHubert P. H. Shum, Edmond S. L. Ho, Marie-Paule Cani, Tiberiu Popa, Daniel Holden, He Wang
Place of PublicationNew York
PublisherACM
ISBN (Electronic)9781450369947
DOIs
Publication statusPublished - 28 Oct 2019
EventMIG 2019: 12th annual ACM/SIGGRAPH conference on Motion, Interaction and Games - Northumbria University, Newcastle upon Tyne, United Kingdom
Duration: 28 Oct 201930 Oct 2019
http://www.mig2019.website/index.html

Conference

ConferenceMIG 2019
Country/TerritoryUnited Kingdom
CityNewcastle upon Tyne
Period28/10/1930/10/19
Internet address

Keywords

  • Motion analysis
  • Motion capture
  • Resistant training
  • Visualization

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